Functions for use in perturbing data prior to use of nonparametric smoothers and clustering.
|Author||Douglas Woolford and John Braun|
|Date of publication||2015-10-16 00:51:37|
|Maintainer||John Braun <firstname.lastname@example.org>|
d: A really neat data set
lambda: Penalty Parameter Selector
MISE: Approximate Mean Integrated Squared Error
numericalDerivative: Numerical Derivative of Smooth Function
penlocreg: Penalized Local Polynomial Regression
pllr: Penalized Local Linear Regression
SecondDerivativePenalty: A Roughness Penalty Based on the Squared Second Derivative
sharp1d: Data Sharpening for Density Estimation
sharp2d: Identify Cluster Centres for 2-dimensional Data via Data...
sharp3d: Identify Cluster Centres for 3-dimensional Data via Data...
sharp3dB: Identify Cluster Centres for 3-dimensional Data via Data...
sharpen: Penalized Data Sharpening Operator for Local Polynomial...
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